DevOps Analytics Engineer

Key Responsibilities :

Design, develop, and maintain DevOps analytics frameworks and dashboards to monitor CI / CD pipelines, system performance, and deployment metrics.

Analyze large volumes of telemetry and log data from automotive software and infrastructure to identify bottlenecks and improve reliability.

Build and optimize data pipelines for collecting, processing, and visualizing operational data using modern analytics tools.

Support troubleshooting and root cause analysis for complex production issues by leveraging analytics and monitoring tools.

Stay current with emerging trends and technologies in DevOps and analytics to propose innovative solutions for automotive software delivery.

Required Skills & Qualifications :

4 to 7 years of professional experience in DevOps, or related roles with a strong focus on analytics.

Strong expertise in CI / CD tools (e.g., Jenkins, GitLab CI, Azure DevOps, CircleCI).

Solid understanding of cloud platforms (AWS, Azure, or GCP) and container orchestration tools like Kubernetes and Docker.

Experience with scripting languages (Python, Bash, etc.) for automation and data processing.

Familiarity with data visualization and business intelligence tools (Tableau, Power BI, etc.).

Excellent problem-solving and communication skills to work effectively with cross-functional teams.

Degree in Data Science, Statistics, Computer Science or other related fields or an equivalent combination of education and experience.